You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites
|
|---|---|
| Published in |
Engineering Applications of Artificial Intelligence, March 2017
|
| DOI | 10.1016/j.engappai.2016.12.014 |
| Authors |
Kamal Z. Zamli, Fakhrud Din, Salmi Baharom, Bestoun S. Ahmed |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 14 | 15% |
| Lecturer | 8 | 9% |
| Lecturer > Senior Lecturer | 6 | 7% |
| Researcher | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 29 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 37% |
| Social Sciences | 8 | 9% |
| Engineering | 6 | 7% |
| Mathematics | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 36 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2019.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Engineering Applications of Artificial Intelligence
#701
of 773 outputs
Outputs of similar age
#285,015
of 324,438 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#10
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 773 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,438 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.